Dynamic Vision: From Images to Face Recognition
Dynamic Vision: From Images to Face Recognition
Handbook of Face Recognition
Computational methods for modeling facial aging: A survey
Journal of Visual Languages and Computing
A machine learning approach for posture recognition based on simplified shock graph
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Face recognition in the presence of age differences using holistic and subpattern-based approaches
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Facial recognition system as a maritime security tool
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The transportation industries have been subjected to unprecedented scrutiny and regulatory mandates in the post-9/11 era. On the other hand, the inner border inspections were closed down in Europe with the Schengen agreement. Freedom of movement has brought new challenges to the authorities and transportation companies. Effective camera surveillance with a facial recognition system (FRS) could be a realistic solution. FRS requires camera(s) and a control device; a computer with special software. The software processes the material, face images, collected by the cameras. FRS has been used as monitoring and controlling tool in major events and border crossings. The aim of FRS is to maintain and improve safety and security in a cost efficient way by saving manpower. However, FRS is an additional security tool and therefore not to be trusted only. FRS is being used mainly as a verification method where the human face functions as an access or pin code. Optimal operational environment for FRS is a dry environment with stable illumination; most likely indoor environment is needed to guarantee the operational ability. Images of the faces should be collected in close distance and the persons, who are to be identified, should cooperate. FRS is composition of technical elements and applications which are commonly used in everyday life. Profiling the environment and setting reasonable aims, FRS could be used in various places. Hence FRS is challenging the traditional methods as a sophisticated security tool for the sophisticated situations. So far, the only operational FRS in Finland started in summer 2008 at Helsinki-Vantaa airport. This paper examines and collects experiences from the airport pilot project, from literature and by interviewing experts of the security and facial recognition field. The aim of the paper is to specify the desired goal state, how FRS could be applied as a new seaport and maritime security tool.